Use CasesUse Cases
- Text Categorization
Match the available ad inventory content to advertising goals.
- News article analysis
Uncover the feelings, topics, and trends in the news.
- Document categorization
Organize content into current categories to match today’s market.
- Blog post comments analysis
Discover the top keywords and sentiment of blog posts.
Text Mining with Smart Content
The Smart Content service is our text analyzer. Through text mining, the Smart Content API analyzes the text, and organizes the text into categories, concepts, and entities. We use a broad definition of text. Text can be documents, emails, news, articles, forums, or even image descriptions.
We start with the basic taxonomy, organizing the text into categories. We show the most relevant categories first. The Smart Content service returns a scored and sorted list of categories. The categories are labeled by various levels according to their degree of specificity, with level-1 categories being the most specific.
The Smart Content service returns list of concepts in order of importance. The information may be either in the text or indirectly inferred. The most relevant concepts have scores closer to 1. In the example on below, JPL Small-Body Database is not in the original content, but is the most relevant concept.
The entities are person, places, or things. For entities we include sentiment, additional categories, keywords and the overall entity score.
Segmentation and Content Analysis
We evaluate sentiment for both keywords and entities. We produce sentiment scores based on the surrounding content in context. The sentiment of “No Sentiment” is reserved for time, distance, dates and other similar units of measurement.
Smart Content Pricing
- No daily limit on requests
- Easy to scale
- Pay only for what you use